An agent-based modeling analysis of helpful vote on online product reviews

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings of the Annual Hawaii International Conference on System Sciences
PublisherIEEE Computer Society
Pages1585-1595
Volume2015-March
ISBN (Print)9781479973675
Publication statusPublished - Jan 2015

Publication series

Name
Volume2015-March
ISSN (Print)1530-1605

Conference

Title48th Annual Hawaii International Conference on System Sciences, HICSS 2015
PlaceUnited States
CityKauai
Period5 - 8 January 2015

Abstract

Helpful vote is a common feature on many websites that utilizes the 'wisdom of the crowd' to vote on whether a piece of information posted on the website (e.g., A product review) is helpful. Recent studies show that under certain conditions, aggregated judgment may lead to inaccurate information. Motivated by these studies, we argue that the aggregated helpful votes may not reflect the underlying quality of a review because of (1) people's selective attention (i.e., Consumers often select reviews to vote based on existing helpful vote) and (2) social influence (i.e., The existing helpful vote affects future helpful vote). We develop computational models to simulate reviews, consumers, and their helpful votes. The model results well represent real-world helpful vote collected longitudinally from Amazon.com. The results also show that the aggregated helpful vote may not reflect the true quality of the reviews.

Research Area(s)

  • Agent-based modeling, Computational model, Online review helpful vote, Wisdom of the crowd

Citation Format(s)

An agent-based modeling analysis of helpful vote on online product reviews. / Liu, Qianqian; Karahanna, Elena.

Proceedings of the Annual Hawaii International Conference on System Sciences. Vol. 2015-March IEEE Computer Society, 2015. p. 1585-1595 7070002.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review